Job Description
This role involves advancing machine learning models for autonomous vehicles by developing perception and behavior systems, working with large-scale data and infrastructure, and deploying solutions to real-world self-driving cars.
Key Responsibilities
- Develop and advance end-to-end machine learning models for autonomous vehicles, including perception and behavior generation from raw sensor data.
- Experiment with state-of-the-art ML architectures using large-scale datasets and compute infrastructure.
- Research and implement solutions for complex AV challenges such as long-tail event handling, safety, and verifiable reasoning.
- Collaborate with autonomy teams to identify challenges and design holistic, learned solutions.
- Build and optimize data, training, evaluation, and validation pipelines for ML models.
- Deploy practical, high-performance ML solutions to the NuroDriver autonomous platform.
Requirements
- A minimum of 3 years of experience focusing on one or more of the following: Computer Science, Artificial Intelligence, Robotics, or a closely related field.
- An M.S. or Ph.D. degree is preferred in addition to the minimum of 3 years of relevant experience.
- Subject matter expertise and research experience in at least one of the following areas: Machine Learning, End-to-End Autonomous Driving Models, Imitation Learning, Reinforcement Learning, or World Models.
- Strong problem-solving skills and programming skills in Python are required.
- C programming skills are preferred.
- Ability to utilize coding best practices as part of work.
- Demonstrated research publications at major conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, RSS, or ICRA.
Benefits & Perks
Compensation/salary range: $183,825.00 to $275,975.00 per year
Work schedule: Not specified
Work environment perks: Eligible for annual performance bonus, equity, and a competitive benefits package
Ready to Apply?
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